ECTS - Supply Chain Management
Supply Chain Management (MDES674) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Supply Chain Management | MDES674 | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| Consent of the instructor |
| Course Language | English |
|---|---|
| Course Type | N/A |
| Course Level | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture. |
| Course Lecturer(s) |
|
| Course Objectives | The course intends to make the students familiar with supply chain management and logistics concepts and prepare them to develop the ability to formulate the models of these systems and analyze results obtained with such models. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Supply chain management purposes and processes; supply chain design, evaluation and measurement models; trends in strategic operations, procurement, and logistics applications within the supply chain. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Overview of supply-chain network optimization models | Related pages of the textbook and other sources |
| 2 | Developments in information technology supporting supply chain analytics | Related pages of the textbook and other sources |
| 3 | Analysis of postponement strategies using optimization models | Related pages of the textbook and other sources |
| 4 | Data-driven methods for sales and operations planning | Related pages of the textbook and other sources |
| 5 | Net profit maximization using revenue models that are price and location sensitive | Related pages of the textbook and other sources |
| 6 | High-performance demand forecasting | Related pages of the textbook and other sources |
| 7 | Flowcasting the retail supply chain | Related pages of the textbook and other sources |
| 8 | Overview of market response models | Related pages of the textbook and other sources |
| 9 | Integrating supply chain and marketing strategies in consumer products companies | Related pages of the textbook and other sources |
| 10 | Case study: Optimizing initial buy decisions in a retailing company | Related pages of the textbook and other sources |
| 11 | Case study: Dynamic sourcing in a container rental company | Related pages of the textbook and other sources |
| 12 | Case study: Post-merger consolidation in a food products company | Related pages of the textbook and other sources |
| 13 | Beyond supply chain optimization to enterprise optimization | Related pages of the textbook and other sources |
| 14 | Future perspectives | Related pages of the textbook and other sources |
| 15 | Overall review | - |
| 16 | Final exam | - |
Sources
| Course Book | 1. Shapiro, J., Modelling the Supply Chain, Duxbury, 2001 |
|---|---|
| Other Sources | 2. Simchi Levi et.al., “Designing and Managing Supply Chain, McGraw-Hill Higher Education, Second Edition, 2003 |
| 3. Bowersox D. J., D. J. Closs And M. B. Cooper, Supply Chain Logistics Management, Mcgraw-Hill Second Edition, 2007 | |
| 4. Chan C. K., And H.W.J. Lee Successfull Strategies In Supply Chain Management, Idea Publishing 2005 |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | 1 | 10 |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 4 | 20 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 40 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 8 | 100 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Ability to expand and get in-depth information with scientific researches in the field of mechanical engineering, evaluate information, review and implement. | |||||
| 2 | Have comprehensive knowledge about current techniques and methods and their limitations in Mechanical engineering. | |||||
| 3 | To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines. | |||||
| 4 | Being aware of the new and developing practices of Mechanical Engineering and being able to examine and learn when needed. | |||||
| 5 | Ability to define and formulate problems related to Mechanical Engineering and develop methods for solving and apply innovative methods in solutions. | |||||
| 6 | Ability to develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in the designs. | |||||
| 7 | Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process. | |||||
| 8 | Work effectively in disciplinary and multi-disciplinary teams, lead leadership in such teams and develop solution approaches in complex situations; work independently and take responsibility. | |||||
| 9 | To establish oral and written communication by using a foreign language at least at the level of European Language Portfolio B2 General Level. | |||||
| 10 | Ability to convey the process and results of their studies systematically and clearly in written and oral form in national and international environments. | |||||
| 11 | To know the social, environmental, health, security, law dimensions, project management and business life applications of engineering applications and to be aware of the constraints of their engineering applications. | |||||
| 12 | Ability to observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | 1 | 2 | 2 |
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 2 | 32 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 4 | 5 | 20 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 8 | 16 |
| Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
| Total Workload | 128 | ||